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Contribute to high impact scientific and clinical projects in the rapidly growing research field of AI in medical imaging and cardiac mapping Located at South Eveleigh in the Faculty of Medicine and
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research
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research databases (including REDCap) demonstrated high-level proficiency in R (or equivalent statistical coding environment) for analysis of large, complex datasets demonstrated experience working with
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the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find
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Code to Prevent and Respond to Gender-based Violence . Preferred candidates will also be required to undertake relevant pre‑employment background checks, including Working With Children Checks
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workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require
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develop new techniques for optimisation/modification of the laser pulse parameters, such as pulse focusing, filamentation, chirping, and temporal compression. Validate computational codes and implement
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Higher Education Code to Prevent and Respond to Gender-based Violence . Preferred candidates will also be required to undertake relevant pre‑employment background checks, including Working With Children